Abstract: An object tracking method, device are provided according to the disclosure. The object tracking method includes: acquiring an object image comprising an object; determining a current image with the object from images captured consecutively, according to the object image; calculating a first pose of the object in the current image using a first algorithm, and calculating a second pose of the object in the current image using a second algorithm, wherein the first algorithm has a faster calculating speed than the second algorithm; determining a pose of the object to be the first pose before a calculation of the second pose is completed; and in a case that the calculation of the second pose is completed, calculating a third pose of the object according to the first pose and the second pose; and determining the pose of the object to be the third pose.

Abstract: An image recognition method and device are provided according to the disclosure. The method includes: obtaining a target image, and extracting at least one first visual feature of the target image; obtaining at least one pending image according to the first visual feature of the target image, and extracting a plurality of second visual features of the target image and the plurality of second visual features of the pending image; for each pending image, forming a plurality of visual feature pairs; and removing an unavailable visual feature pair from the plurality of visual feature pairs, to obtain at least one remaining feature pair; and determining an image similar to the target image from the at least one pending image, according to the at least one remaining feature pair.

Abstract: The present disclosure discloses a method and apparatus for presenting information.

Abstract: The present disclosure provides a method, an apparatus, a device for evaluating image tracking effectiveness and a readable storage medium. The method includes: extracting feature points from a target image according to a predefined algorithm; determining first texture information for the target image according to the feature points; processing the target image according to a predefined processing policy to derive a contrast image, and determining second texture information for the target image according to the contrast image; and rating the target image according to the first texture information and the second texture information. In the solution provide by the present disclosure, the tracking effectiveness for the target image can be known without having to place the target image into any actual product, nor having to wait until the product has been finalized before the target image tracking effectiveness is determined. Moreover, efficiency can be enhanced when evaluating image tracking effectiveness.

Abstract: A monocular vision tracking method, apparatus and a non-volatile computer-readable storage medium are provided. The method includes: acquiring a first camera pose by using a wireless tracker; capturing calibration board images by using a camera, and calculating a second camera pose according to the captured calibration board images; obtaining a conversion parameter between the first camera pose and the second camera pose; and converting a first capturing pose into a second capturing pose by means of the conversion parameter when a scenario is captured, wherein the first capturing pose is acquired by the wireless tracker and the second capturing pose corresponds to a pose of the camera; wherein a relative position between the wireless tracker and the camera remains unchanged, in processes of acquiring the first camera pose, capturing the calibration board images and capturing the scenario.

Abstract: The present application provides a method and an apparatus for three-dimensional object pose estimation, a device and a storage medium. The method includes: calculating a graph of a previous frame and a graph of a current frame for a target three-dimensional object; performing a matching calculation on the graph of the previous frame and the graph of the current frame using a graph matching algorithm to obtain a vertex correspondence relationship between the graph of the previous frame and the graph of the current frame; calculating a pose of the target three-dimensional object in the current frame according to the vertex correspondence relationship, a pose of the target three-dimensional object in the previous frame and a PnP algorithm. The matching accuracy of feature points is effectively improved, and thereby the accuracy of three-dimensional object pose estimation is improved.

Abstract: An object tracking method, device are provided according to the disclosure. The object tracking method includes: acquiring an object image comprising an object; determining a current image with the object from images captured consecutively, according to the object image; calculating a first pose of the object in the current image using a first algorithm, and calculating a second pose of the object in the current image using a second algorithm, wherein the first algorithm has a faster calculating speed than the second algorithm; determining a pose of the object to be the first pose before a calculation of the second pose is completed; and in a case that the calculation of the second pose is completed, calculating a third pose of the object according to the first pose and the second pose; and determining the pose of the object to be the third pose.

Abstract: An image recognition method and device are provided according to the disclosure. The method includes: obtaining a target image, and extracting at least one first visual feature of the target image; obtaining at least one pending image according to the first visual feature of the target image, and extracting a plurality of second visual features of the target image and the plurality of second visual features of the pending image; for each pending image, forming a plurality of visual feature pairs; and removing an unavailable visual feature pair from the plurality of visual feature pairs, to obtain at least one remaining feature pair; and determining an image similar to the target image from the at least one pending image, according to the at least one remaining feature pair.

Abstract: A method for determining a pose of a camera is provided, the method includes: S101, acquiring an image of a marker; S102, estimating a first pose of the camera according to the image of the marker by a characteristic point method; S103, estimating a second pose of the camera according to the image of the marker by a direct method; and S104, determining the pose of the camera based on the first pose and the second pose.

Abstract: A method and apparatus for augmenting reality are disclosed. A specific embodiment of the method includes: recognizing an object in an image collected by a camera of a user terminal, and determining a space occupied by the recognized object in a world coordinate system; determining a position in the world coordinate system corresponding to an augmented reality tag of the recognized object, and determining a superimposition position in the collected image corresponding to the position in the world coordinate system corresponding to an augmented reality tag of the recognized object, the position in the world coordinate system corresponding to the augmented reality tag being associated with the space occupied by the recognized object in the world coordinate system; and superimposing, in an augmented reality, the augmented reality tag at the superimposition position. The direct association relationship between the superimposed information and the object in the real world is established.

Abstract: A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.

Abstract: The present disclosure discloses a method and apparatus for presenting information.

Abstract: An augmented reality positioning method and apparatus for location-based service LBS, comprising: a first terminal obtains image information captured by a camera, and receives AR information transmitted by a server; the AR information is generated according to location information of a second terminal; the first terminal displays the image information drawn with the AR information. The apparatus avoids the following drawbacks in the prior art: location inaccuracy; when the terminals are close to each other, positioning cannot be performed on the interfaces of the terminals; if the environment is complicated, it is difficult for the user to quickly perform accurate and direct judgment, and even impossible to obtain more accurate mutual suggestive location information.

Abstract: An apparatus and corresponding method are provided to match images and include assigning depth candidate values to a pixel in a first image, and reassigning third depth candidate values to a first pixel in the first image based on first depth candidate values assigned to the first pixel and second depth candidate values assigned to a second pixel adjacent to the first pixel. The apparatus and method also include determining one of the third depth candidate values to be a depth value of the first pixel, and matching the first pixel and a third pixel in a second image corresponding to the determined depth value of the first pixel.

Abstract: The present disclosure discloses a navigation method and apparatus. A specific implementation of the method comprises: sending an image captured by a terminal used by a user in an indoor environment to a server, the image comprising an identification object; receiving navigation information associated with a position of the user in the indoor environment returned from the server, the position being determined by the server based on a preset identification object matching the identification object and a position in the indoor environment corresponding to the preset identification object; and presenting at least a portion of the navigation information in the image by adopting an augmented reality mode. The navigation method and apparatus provided here achieves a comparatively accurate location of the position of the user in the indoor environment by the user photographing the image with the terminal only, enhancing the accuracy of the navigation and possessing a strong applicability.

Abstract: The present invention discloses a Mg—Ca—Zn—Zr magnesium alloy sheet, having the chemical compositions in weight percentage: Ca: 0.5˜1.0%, Zn: 0.4˜1.0%, Zr: 0.5˜1.0%, the remainders being Mg and unavoidable impurities; wherein the magnesium alloy sheet has an average grain size of less than or equal to 10 ?m, an interarea texture strength of less than or equal to 5, an interarea texture strength after annealing at 250˜400° C. of less than or equal to 3, and a limiting drawing ratio at room temperature of more than AZ31; and the grain size thereof is remarkably less than that of AZ31B sheet produced in the same conditions, and the sheet texture is notably weakened.

Abstract: An apparatus and corresponding method are provided to match images and include assigning depth candidate values to a pixel in a first image, and reassigning third depth candidate values to a first pixel in the first image based on first depth candidate values assigned to the first pixel and second depth candidate values assigned to a second pixel adjacent to the first pixel. The apparatus and method also include determining one of the third depth candidate values to be a depth value of the first pixel, and matching the first pixel and a third pixel in a second image corresponding to the determined depth value of the first pixel.

Abstract: A method and apparatus of generating a three-dimensional (3D) image are provided. The method of generating a 3D image involves acquiring a plurality of images of a 3D object with a camera, calculating pose information of the plurality of images based on pose data for each of the plurality of images measured by an inertial measurement unit, and generating a 3D image corresponding to the 3D object based on the pose information.

Abstract: The present invention discloses a Mg—Ca—Zn—Zr magnesium alloy sheet, having the chemical compositions in weight percentage: Ca: 0.5˜1.0%, Zn: 0.4˜1.0%, Zr: 0.5˜1.0%, the remainders being Mg and unavoidable impurities; wherein the magnesium alloy sheet has an average grain size of less than or equal to 10 ?m, an interarea texture strength of less than or equal to 5, an interarea texture strength after annealing at 250˜400° C. of less than or equal to 3, and a limiting drawing ratio at room temperature of more than AZ31; and the grain size thereof is remarkably less than that of AZ31B sheet produced in the same conditions, and the sheet texture is notably weakened.

Abstract: This document provides methods and materials related to determining whether or not a mammal (e.g., a human) has a neurodegenerative disease (e.g., frontotemporal dementia, AD, or amyotrophic lateral sclerosis (ALS)). For example, methods and materials for using the levels of TDP-43 polypeptides and/or TDP-43 polypeptide cleavage products (e.g., 25 kD and 35 kD TDP-43 polypeptide cleavage products) in a biological fluid (e.g., cerebrospinal fluid) to determine whether or not a mammal has a neurodegenerative disease (e.g., frontotemporal dementia, AD, or ALS) are provided.